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A-priori Weighting of Items with the Rasch Model.

David Andrich1, Sonia Sappl

  • 1David Andrich, M428, The University of Western Australia, 35 Stirling Highway, Crawley, Western Australia 6009 Australia, david.andrich@uwa.edu.au.

Journal of Applied Measurement
|May 13, 2021
PubMed
Summary

This study introduces a method using the Rasch model to control item influence in social science scales. It allows for a-priori weighting to balance the impact of different aspects on the final measurement.

Area of Science:

  • Social Sciences
  • Psychometrics
  • Measurement Theory

Background:

  • Assessment scales in social sciences often have subscale structures to measure multiple aspects of a variable.
  • Typically, a single overall measurement is derived from these scales.
  • The number of items and categories assessing each aspect influences its contribution to the final score.

Purpose of the Study:

  • To present a method for controlling the influence of item and category numbers in multi-aspect scales.
  • To address challenges in designing scales with balanced item representation for each aspect.
  • To utilize the Rasch model for a-priori item weighting.

Main Methods:

  • Application of the Rasch model for item response theory analysis.
  • A-priori weighting of items at the person measurement stage.

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  • Controlling the relative influence of items and categories assessing specific aspects.

    • Main Results:

    • Demonstration of a method to adjust item influence based on desired aspect representation.
    • Effective control over the contribution of different subscales to the overall measurement.
    • Facilitation of scale construction when balanced item design is difficult.

    Conclusions:

    • The proposed Rasch model-based weighting method offers a flexible approach to scale construction.
    • This technique allows researchers to manage the psychometric properties of multi-dimensional assessment scales.
    • It provides a practical solution for achieving desired measurement properties in social science research.